We evaluate on a popular MS COCO 2014 [1]} split used in
few-shot object detection methods [2]}, [3]}, [4]}, [5]}, [6]}, named COCO60.
In
COCO60 split, 60 categories disjoint with the PASCAL VOC dataset are used as
base classes and the remaining 20 classes are used as novel classes.
This
allows us to also perform a cross-dataset evaluation on PASCAL
VOC07 [7]} test set.
We evaluate the performance of each
method over 2000 randomly sampled tasks.
